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The Soybean Processing Decision: Exercising A Real Option On Processing Margins

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  • Plato, Gerald E.

Abstract

The gross soybean processing margin (the gross return per bushel of soybeans processed) is the main decision variable that processors use in deciding when and if to make binding commitments to process soybeans on future dates. Understanding how processors choose processing margins for future processing dates from among those available on successive days may help to resolve the ongoing concern about the level of competitiveness in processing agricultural commodities. Processing returns are treated as being equivalent to the returns to a call option. This approach provides the opportunity to simulate processor choice of processing margin by evaluating the incentive of waiting for a larger processing margin versus the incentive of locking in the currently available processing margin for a future date. The approach captures the irreversibility of the decision to process soybeans. Once the decision is made to process soybeans it cannot be economically reversed because of the contractual penalties involved. Processing margins selected using evaluations of these incentives explained variation in soybean crush, whereas spot margins for the corresponding processing dates did not.

Suggested Citation

  • Plato, Gerald E., 2001. "The Soybean Processing Decision: Exercising A Real Option On Processing Margins," Technical Bulletins 33567, United States Department of Agriculture, Economic Research Service.
  • Handle: RePEc:ags:uerstb:33567
    DOI: 10.22004/ag.econ.33567
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    Cited by:

    1. Yang, Yao & Karali, Berna, 2022. "The Role of USDA Reports on Extreme Volatility Coexceedances: An Application to the Soybean Complex," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322104, Agricultural and Applied Economics Association.
    2. Lee, Yunkyung & Perrin, Richard K. & Fulginiti, Lilyan E., 2022. "Potential Economic Impacts of Gene-edited High-oleic Soybeans," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322392, Agricultural and Applied Economics Association.
    3. Sripad K. Devalkar & Ravi Anupindi & Amitabh Sinha, 2011. "Integrated Optimization of Procurement, Processing, and Trade of Commodities," Operations Research, INFORMS, vol. 59(6), pages 1369-1381, December.
    4. Ramesh, Nandini, 2002. "Contract design in soybean production," ISU General Staff Papers 2002010108000018191, Iowa State University, Department of Economics.
    5. Lee, Yunkyung, 2020. "Potential economic consequences of gene-edited technology on the U.S. soybean market," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304241, Agricultural and Applied Economics Association.
    6. Lee, Yunkyung, 2021. "Potential market and welfare effects of genetically edited technology in U.S. soybean production," 2021 Annual Meeting, August 1-3, Austin, Texas 314058, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Crop Production/Industries; Marketing;

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